{
  "cells": [
    {
      "cell_type": "code",
      "execution_count": null,
      "metadata": {
        "id": "9nuf2Zwjyaap"
      },
      "outputs": [],
      "source": [
        "# Copyright 2021 Google LLC\n",
        "#\n",
        "# Licensed under the Apache License, Version 2.0 (the \"License\");\n",
        "# you may not use this file except in compliance with the License.\n",
        "# You may obtain a copy of the License at\n",
        "#\n",
        "#     https://www.apache.org/licenses/LICENSE-2.0\n",
        "#\n",
        "# Unless required by applicable law or agreed to in writing, software\n",
        "# distributed under the License is distributed on an \"AS IS\" BASIS,\n",
        "# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.\n",
        "# See the License for the specific language governing permissions and\n",
        "# limitations under the License."
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "text_title:migration,automl,icn"
      },
      "source": [
        "# AutoML SDK: AutoML image object detection model\n"
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "JE-aKjayJjkF"
      },
      "source": [
        "## Installation\n",
        "\n",
        "Install the latest (preview) version of AutoML SDK."
      ]
    },
    {
      "cell_type": "code",
      "execution_count": null,
      "metadata": {
        "id": "7dxB6-B0JjkG"
      },
      "outputs": [],
      "source": [
        "! pip3 install -U google-cloud-automl --user"
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "Iddo-8HmJjkH"
      },
      "source": [
        "Install the Google *cloud-storage* library as well."
      ]
    },
    {
      "cell_type": "code",
      "execution_count": null,
      "metadata": {
        "id": "xHvi6EFSJjkH"
      },
      "outputs": [],
      "source": [
        "! pip3 install google-cloud-storage"
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "ktRTgB8DJjkI"
      },
      "source": [
        "### Restart the Kernel\n",
        "\n",
        "Once you've installed the AutoML SDK and Google *cloud-storage*, you need to restart the notebook kernel so it can find the packages."
      ]
    },
    {
      "cell_type": "code",
      "execution_count": null,
      "metadata": {
        "id": "x1g4mBdlJjkI"
      },
      "outputs": [],
      "source": [
        "import os\n",
        "\n",
        "if not os.getenv(\"AUTORUN\"):\n",
        "    # Automatically restart kernel after installs\n",
        "    import IPython\n",
        "\n",
        "    app = IPython.Application.instance()\n",
        "    app.kernel.do_shutdown(True)"
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "UvmMLVFSzK1P"
      },
      "source": [
        "## Before you begin\r\n",
        "\r\n",
        "### GPU run-time\r\n",
        "\r\n",
        "*Make sure you're running this notebook in a GPU runtime if you have that option. In Colab, select* **Runtime > Change Runtime Type > GPU**\r\n",
        "\r\n",
        "### Set up your GCP project\r\n",
        "\r\n",
        "**The following steps are required, regardless of your notebook environment.**\r\n",
        "\r\n",
        "1. [Select or create a GCP project](https://console.cloud.google.com/cloud-resource-manager). When you first create an account, you get a $300 free credit towards your compute/storage costs.\r\n",
        "\r\n",
        "2. [Make sure that billing is enabled for your project.](https://cloud.google.com/billing/docs/how-to/modify-project)\r\n",
        "\r\n",
        "3. [Enable the AutoML APIs and Compute Engine APIs.](https://console.cloud.google.com/flows/enableapi?apiid=ml.googleapis.com,compute_component)\r\n",
        "\r\n",
        "4. [Google Cloud SDK](https://cloud.google.com/sdk) is already installed in AutoML Notebooks.\r\n",
        "\r\n",
        "5. Enter your project ID in the cell below. Then run the  cell to make sure the\r\n",
        "Cloud SDK uses the right project for all the commands in this notebook.\r\n",
        "\r\n",
        "**Note**: Jupyter runs lines prefixed with `!` as shell commands, and it interpolates Python variables prefixed with `$` into these commands."
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "hceMthWGJjkI"
      },
      "source": [
        "#### Project ID\n",
        "\n",
        "**If you don't know your project ID**, try to get your project ID using `gcloud` command by executing the second cell below."
      ]
    },
    {
      "cell_type": "code",
      "execution_count": null,
      "metadata": {
        "id": "set_project_id"
      },
      "outputs": [],
      "source": [
        "PROJECT_ID = \"[your-project-id]\"  # @param {type:\"string\"}"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": null,
      "metadata": {
        "id": "autoset_project_id"
      },
      "outputs": [],
      "source": [
        "if PROJECT_ID == \"\" or PROJECT_ID is None or PROJECT_ID == \"[your-project-id]\":\n",
        "    # Get your GCP project id from gcloud\n",
        "    shell_output = !gcloud config list --format 'value(core.project)' 2>/dev/null\n",
        "    PROJECT_ID = shell_output[0]\n",
        "    print(\"Project ID:\", PROJECT_ID)"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": null,
      "metadata": {
        "id": "set_gcloud_project_id"
      },
      "outputs": [],
      "source": [
        "! gcloud config set project $PROJECT_ID"
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "jT0fijejJjkK"
      },
      "source": [
        "#### Region\n",
        "\n",
        "You can also change the `REGION` variable, which is used for operations\n",
        "throughout the rest of this notebook.  Below are regions supported for AutoML. We recommend when possible, to choose the region closest to you.\n",
        "\n",
        "- Americas: `us-central1`\n",
        "- Europe: `europe-west4`\n",
        "- Asia Pacific: `asia-east1`\n",
        "\n",
        "You cannot use a Multi-Regional Storage bucket for training with AutoML. Not all regions provide support for all AutoML services. For the latest support per region, see [Region support for AutoML services]()\n"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": null,
      "metadata": {
        "id": "CTBlncfrJjkK"
      },
      "outputs": [],
      "source": [
        "REGION = \"us-central1\"  # @param {type: \"string\"}"
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "J_croPBoJjkK"
      },
      "source": [
        "#### Timestamp\n",
        "\n",
        "If you are in a live tutorial session, you might be using a shared test account or project. To avoid name collisions between users on resources created, you create a timestamp for each instance session, and append onto the name of resources which will be created in this tutorial.\n"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": null,
      "metadata": {
        "id": "KKxStk5bJjkL"
      },
      "outputs": [],
      "source": [
        "from datetime import datetime\n",
        "\n",
        "TIMESTAMP = datetime.now().strftime(\"%Y%m%d%H%M%S\")"
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "kScwVlYG4K3g"
      },
      "source": [
        "### Authenticate your GCP account\r\n",
        "\r\n",
        "**If you are using AutoML Notebooks**, your environment is already\r\n",
        "authenticated. Skip this step.\r\n",
        "\r\n",
        "*Note: If you are on an AutoML notebook and run the cell, the cell knows to skip executing the authentication steps.*"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": null,
      "metadata": {
        "id": "chybg3Ap_i_2"
      },
      "outputs": [],
      "source": [
        "import os\n",
        "import sys\n",
        "\n",
        "# If you are running this notebook in Colab, run this cell and follow the\n",
        "# instructions to authenticate your Google Cloud account. This provides access\n",
        "# to your Cloud Storage bucket and lets you submit training jobs and prediction\n",
        "# requests.\n",
        "\n",
        "# If on Vertex, then don't execute this code\n",
        "if not os.path.exists(\"/opt/deeplearning/metadata/env_version\"):\n",
        "    if \"google.colab\" in sys.modules:\n",
        "        from google.colab import auth as google_auth\n",
        "\n",
        "        google_auth.authenticate_user()\n",
        "\n",
        "    # If you are running this tutorial in a notebook locally, replace the string\n",
        "    # below with the path to your service account key and run this cell to\n",
        "    # authenticate your Google Cloud account.\n",
        "    else:\n",
        "        %env GOOGLE_APPLICATION_CREDENTIALS your_path_to_credentials.json\n",
        "\n",
        "    # Log in to your account on Google Cloud\n",
        "    ! gcloud auth login"
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "MDUAZaN3JjkL"
      },
      "source": [
        "### Create a Cloud Storage bucket\n",
        "\n",
        "**The following steps are required, regardless of your notebook environment.**\n",
        "\n",
        "This tutorial is designed to use training data that is in a public Cloud Storage bucket and a local Cloud Storage bucket for your batch predictions. You may alternatively use your own training data that you have stored in a local Cloud Storage bucket.\n",
        "\n",
        "Set the name of your Cloud Storage bucket below. It must be unique across all Cloud Storage buckets."
      ]
    },
    {
      "cell_type": "code",
      "execution_count": null,
      "metadata": {
        "id": "bucket"
      },
      "outputs": [],
      "source": [
        "BUCKET_NAME = \"[your-bucket-name]\"  # @param {type:\"string\"}"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": null,
      "metadata": {
        "id": "autoset_bucket"
      },
      "outputs": [],
      "source": [
        "if BUCKET_NAME == \"\" or BUCKET_NAME is None or BUCKET_NAME == \"[your-bucket-name]\":\n",
        "    BUCKET_NAME = PROJECT_ID + \"aip-\" + TIMESTAMP"
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "yU6VuylGJjkM"
      },
      "source": [
        "**Only if your bucket doesn't already exist**: Run the following cell to create your Cloud Storage bucket."
      ]
    },
    {
      "cell_type": "code",
      "execution_count": null,
      "metadata": {
        "id": "QVRixM4oJjkM"
      },
      "outputs": [],
      "source": [
        "! gsutil mb -l $REGION gs://$BUCKET_NAME"
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "Mi-Pdh6QJjkN"
      },
      "source": [
        "Finally, validate access to your Cloud Storage bucket by examining its contents:"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": null,
      "metadata": {
        "id": "aqDptKpYJjkN"
      },
      "outputs": [],
      "source": [
        "! gsutil ls -al gs://$BUCKET_NAME"
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "fR9geV9pJjkO"
      },
      "source": [
        "### Set up variables\n",
        "\n",
        "Next, set up some variables used throughout the tutorial.\n",
        "### Import libraries and define constants"
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "hIHTX-pkJjkO"
      },
      "source": [
        "#### Import AutoML SDK\n",
        "\n",
        "Import the AutoM SDK into our Python environment."
      ]
    },
    {
      "cell_type": "code",
      "execution_count": null,
      "metadata": {
        "id": "qrSkIKVgJjkO"
      },
      "outputs": [],
      "source": [
        "import os\n",
        "import sys\n",
        "import time\n",
        "\n",
        "from google.cloud import automl\n",
        "from google.protobuf.json_format import MessageToJson"
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "lbv411XjJjkP"
      },
      "source": [
        "#### AutoML constants\n",
        "\n",
        "Setup up the following constants for AutoML:\n",
        "\n",
        "- `PARENT`: The AutoM location root path for dataset, model and endpoint resources."
      ]
    },
    {
      "cell_type": "code",
      "execution_count": null,
      "metadata": {
        "id": "Gx8Eos8PJjkP"
      },
      "outputs": [],
      "source": [
        "# AutoM location root path for your dataset, model and endpoint resources\n",
        "PARENT = \"projects/\" + PROJECT_ID + \"/locations/\" + REGION"
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "i8zg7LVoyaa2"
      },
      "source": [
        "## Clients\n",
        "\n",
        "The AutoML SDK works as a client/server model. On your side (the Python script) you will create a client that sends requests and receives responses from the server (AutoML).\n",
        "\n",
        "You will use several clients in this tutorial, so set them all up upfront.\n"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": null,
      "metadata": {
        "id": "c3sR3OxmxXiR"
      },
      "outputs": [],
      "source": [
        "def automl_client():\n",
        "    return automl.AutoMlClient()\n",
        "\n",
        "\n",
        "def prediction_client():\n",
        "    return automl.PredictionServiceClient()\n",
        "\n",
        "\n",
        "def operations_client():\n",
        "    return automl.AutoMlClient()._transport.operations_client\n",
        "\n",
        "\n",
        "clients = {}\n",
        "clients[\"automl\"] = automl_client()\n",
        "clients[\"prediction\"] = prediction_client()\n",
        "clients[\"operations\"] = operations_client()\n",
        "\n",
        "for client in clients.items():\n",
        "    print(client)"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": null,
      "metadata": {
        "id": "import_file:flowers,csv,icn"
      },
      "outputs": [],
      "source": [
        "IMPORT_FILE = \"gs://cloud-ml-data/img/openimage/csv/salads_ml_use.csv\""
      ]
    },
    {
      "cell_type": "code",
      "execution_count": null,
      "metadata": {
        "id": "2do-AnOHxXiS"
      },
      "outputs": [],
      "source": [
        "%%capture\n",
        "! gsutil cp -r gs://cloud-ml-data/img/openimage/ gs://$BUCKET_NAME"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": null,
      "metadata": {
        "id": "05fa67c5e593"
      },
      "outputs": [],
      "source": [
        "! gsutil ls gs://$BUCKET_NAME"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": null,
      "metadata": {
        "id": "a49c04d37ff9"
      },
      "outputs": [],
      "source": [
        "import tensorflow as tf\n",
        "\n",
        "all_files_csv = ! gsutil cat $IMPORT_FILE\n",
        "all_files_csv = [l.replace(\"cloud-ml-data/img\", BUCKET_NAME) for l in all_files_csv]\n",
        "\n",
        "IMPORT_FILE = \"gs://\" + BUCKET_NAME + \"/openimage/salads_ml_use.csv\"\n",
        "with tf.io.gfile.GFile(IMPORT_FILE, \"w\") as f:\n",
        "    for l in all_files_csv:\n",
        "        f.write(l + \"\\n\")"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": null,
      "metadata": {
        "id": "7e329544a2db"
      },
      "outputs": [],
      "source": [
        "! gsutil cat $IMPORT_FILE | head -n 10"
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "datasets_import:migration,new,response"
      },
      "source": [
        "*Example output*:\n",
        "```\n",
        "TEST,gs://migration-ucaip-trainingaip-20210301091741/openimage/103/279324025_3e74a32a84_o.jpg,Baked Goods,0.005743,0.084985,,,0.567511,0.735736,,\n",
        "TEST,gs://migration-ucaip-trainingaip-20210301091741/openimage/103/279324025_3e74a32a84_o.jpg,Salad,0.402759,0.310473,,,1.000000,0.982695,,\n",
        "TEST,gs://migration-ucaip-trainingaip-20210301091741/openimage/1064/3167707458_7b2eebed9e_o.jpg,Cheese,0.000000,0.000000,,,0.054865,0.480665,,\n",
        "TEST,gs://migration-ucaip-trainingaip-20210301091741/openimage/1064/3167707458_7b2eebed9e_o.jpg,Cheese,0.041131,0.401678,,,0.318230,0.785916,,\n",
        "TEST,gs://migration-ucaip-trainingaip-20210301091741/openimage/1064/3167707458_7b2eebed9e_o.jpg,Cheese,0.116263,0.065161,,,0.451528,0.286489,,\n",
        "TEST,gs://migration-ucaip-trainingaip-20210301091741/openimage/1064/3167707458_7b2eebed9e_o.jpg,Cheese,0.557359,0.411551,,,0.988760,0.731613,,\n",
        "TEST,gs://migration-ucaip-trainingaip-20210301091741/openimage/1064/3167707458_7b2eebed9e_o.jpg,Cheese,0.562206,0.059401,,,0.876467,0.260982,,\n",
        "TEST,gs://migration-ucaip-trainingaip-20210301091741/openimage/1064/3167707458_7b2eebed9e_o.jpg,Cheese,0.567861,0.000161,,,0.699543,0.077502,,\n",
        "TEST,gs://migration-ucaip-trainingaip-20210301091741/openimage/1064/3167707458_7b2eebed9e_o.jpg,Cheese,0.916052,0.085569,,,1.000000,0.348036,,\n",
        "TEST,gs://migration-ucaip-trainingaip-20210301091741/openimage/1064/3167707458_7b2eebed9e_o.jpg,Salad,0.000000,0.000000,,,1.000000,1.000000,,\n",
        "```\n"
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "text_create_dataset:migration"
      },
      "source": [
        "## Create a dataset"
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "text_datasets_create:migration,old"
      },
      "source": [
        "### [projects.locations.datasets.create](https://cloud.google.com/automl/docs/reference/rest/v1beta1/projects.locations.datasets/create)"
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "ozaMOwdNJjkT"
      },
      "source": [
        "#### Request"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": null,
      "metadata": {
        "id": "KxWzIF7_yaa5"
      },
      "outputs": [],
      "source": [
        "dataset = {\n",
        "    \"display_name\": \"salads_20210301091741\",\n",
        "    \"image_object_detection_dataset_metadata\": {},\n",
        "}\n",
        "\n",
        "print(\n",
        "    MessageToJson(\n",
        "        automl.CreateDatasetRequest(parent=PARENT, dataset=dataset).__dict__[\"_pb\"]\n",
        "    )\n",
        ")"
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "datasets_import:migration,new,response"
      },
      "source": [
        "*Example output*:\n",
        "```\n",
        "{\n",
        "  \"parent\": \"projects/migration-ucaip-training/locations/us-central1\",\n",
        "  \"dataset\": {\n",
        "    \"displayName\": \"salads_20210301091741\",\n",
        "    \"imageObjectDetectionDatasetMetadata\": {}\n",
        "  }\n",
        "}\n",
        "```\n"
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "vHkuSZxkJjkT"
      },
      "source": [
        "#### Call"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": null,
      "metadata": {
        "id": "3KJwP6EMyaa6"
      },
      "outputs": [],
      "source": [
        "request = clients[\"automl\"].create_dataset(parent=PARENT, dataset=dataset)"
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "FLqkZMD2JjkT"
      },
      "source": [
        "#### Response"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": null,
      "metadata": {
        "id": "7pD6Cnaayaa6"
      },
      "outputs": [],
      "source": [
        "result = request.result()\n",
        "\n",
        "print(MessageToJson(result.__dict__[\"_pb\"]))"
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "datasets_import:migration,new,response"
      },
      "source": [
        "*Example output*:\n",
        "```\n",
        "{\n",
        "  \"name\": \"projects/116273516712/locations/us-central1/datasets/IOD6853960213125398528\"\n",
        "}\n",
        "```\n"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": null,
      "metadata": {
        "id": "3098fbf69816"
      },
      "outputs": [],
      "source": [
        "# The full unique ID for the dataset\n",
        "dataset_id = result.name\n",
        "# The short numeric ID for the dataset\n",
        "dataset_short_id = dataset_id.split(\"/\")[-1]\n",
        "\n",
        "print(dataset_id)"
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "text_datasets_importdata:migration,old"
      },
      "source": [
        "### [projects.locations.datasets.importData](https://cloud.google.com/automl/docs/reference/rest/v1beta1/projects.locations.datasets/importData)"
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "UI4gtgi8yaa7"
      },
      "source": [
        "#### Request"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": null,
      "metadata": {
        "id": "C2WaWWRdyaa7"
      },
      "outputs": [],
      "source": [
        "input_config = {\"gcs_source\": {\"input_uris\": [IMPORT_FILE]}}\n",
        "\n",
        "print(\n",
        "    MessageToJson(\n",
        "        automl.ImportDataRequest(name=dataset_id, input_config=input_config).__dict__[\n",
        "            \"_pb\"\n",
        "        ]\n",
        "    )\n",
        ")"
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "datasets_import:migration,new,response"
      },
      "source": [
        "*Example output*:\n",
        "```\n",
        "{\n",
        "  \"name\": \"projects/116273516712/locations/us-central1/datasets/IOD6853960213125398528\",\n",
        "  \"inputConfig\": {\n",
        "    \"gcsSource\": {\n",
        "      \"inputUris\": [\n",
        "        \"gs://migration-ucaip-trainingaip-20210301091741/openimage/salads_ml_use.csv\"\n",
        "      ]\n",
        "    }\n",
        "  }\n",
        "}\n",
        "```\n"
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "Maf1LoqCyaa7"
      },
      "source": [
        "#### Call"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": null,
      "metadata": {
        "id": "QdxyXocIyaa8"
      },
      "outputs": [],
      "source": [
        "request = clients[\"automl\"].import_data(name=dataset_id, input_config=input_config)"
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "yYvi8E5gyaa8"
      },
      "source": [
        "#### Response"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": null,
      "metadata": {
        "id": "4csMUj2Nyaa8"
      },
      "outputs": [],
      "source": [
        "result = request.result()\n",
        "\n",
        "print(MessageToJson(result))"
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "datasets_import:migration,new,response"
      },
      "source": [
        "*Example output*:\n",
        "```\n",
        "{}\n",
        "```\n"
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "text_create_and_deploy_model:migration"
      },
      "source": [
        "## Train a model"
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "text_models_create:migration,old"
      },
      "source": [
        "### [projects.locations.models.create](https://cloud.google.com/automl/docs/reference/rest/v1beta1/projects.locations.models/create)"
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "IL7EQThtyaa9"
      },
      "source": [
        "#### Request"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": null,
      "metadata": {
        "id": "mhWvSo8Lyaa9"
      },
      "outputs": [],
      "source": [
        "model = {\n",
        "    \"display_name\": \"salads_\" + TIMESTAMP,\n",
        "    \"dataset_id\": dataset_short_id,\n",
        "    \"image_object_detection_model_metadata\": {\"train_budget_milli_node_hours\": 20000},\n",
        "}\n",
        "\n",
        "print(\n",
        "    MessageToJson(automl.CreateModelRequest(parent=PARENT, model=model).__dict__[\"_pb\"])\n",
        ")"
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "datasets_import:migration,new,response"
      },
      "source": [
        "*Example output*:\n",
        "```\n",
        "{\n",
        "  \"parent\": \"projects/migration-ucaip-training/locations/us-central1\",\n",
        "  \"model\": {\n",
        "    \"displayName\": \"salads_20210301091741\",\n",
        "    \"datasetId\": \"IOD6853960213125398528\",\n",
        "    \"imageObjectDetectionModelMetadata\": {\n",
        "      \"trainBudgetMilliNodeHours\": \"20000\"\n",
        "    }\n",
        "  }\n",
        "}\n",
        "```\n"
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "9SVvg6Fuyaa9"
      },
      "source": [
        "#### Call"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": null,
      "metadata": {
        "id": "G0CsKetKyaa9"
      },
      "outputs": [],
      "source": [
        "request = clients[\"automl\"].create_model(parent=PARENT, model=model)"
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "A5cpYaRHyaa-"
      },
      "source": [
        "#### Response"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": null,
      "metadata": {
        "id": "hD6pFBA2yaa-"
      },
      "outputs": [],
      "source": [
        "result = request.result()\n",
        "\n",
        "print(MessageToJson(result.__dict__[\"_pb\"]))"
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "datasets_import:migration,new,response"
      },
      "source": [
        "*Example output*:\n",
        "```\n",
        "{\n",
        "  \"name\": \"projects/116273516712/locations/us-central1/models/IOD3797407498105782272\"\n",
        "}\n",
        "```\n"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": null,
      "metadata": {
        "id": "c16f1dfb6421"
      },
      "outputs": [],
      "source": [
        "# The full unique ID for the training pipeline\n",
        "model_id = result.name\n",
        "# The short numeric ID for the training pipeline\n",
        "model_short_id = model_id.split(\"/\")[-1]\n",
        "\n",
        "print(model_id)"
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "text_evaluate_the_model:migration"
      },
      "source": [
        "## Evaluate the model"
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "yfufMwAEJjkX"
      },
      "source": [
        "### [projects.locations.models.modelEvaluations.list](https://cloud.google.com/automl/docs/reference/rest/v1beta1/projects.locations.models.modelEvaluations/list)"
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "4UuWIZrQyaa_"
      },
      "source": [
        "#### Call"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": null,
      "metadata": {
        "id": "8TCpbLglyaa_"
      },
      "outputs": [],
      "source": [
        "request = clients[\"automl\"].list_model_evaluations(parent=model_id, filter=\"\")"
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "-LGUxB-Syaa_"
      },
      "source": [
        "#### Response"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": null,
      "metadata": {
        "id": "AxEY7WFHj2YC"
      },
      "outputs": [],
      "source": [
        "import json\n",
        "\n",
        "model_evaluations = [json.loads(MessageToJson(me.__dict__[\"_pb\"])) for me in request]\n",
        "# The evaluation slice\n",
        "evaluation_slice = request.model_evaluation[0].name\n",
        "\n",
        "print(json.dumps(model_evaluations, indent=2))"
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "datasets_import:migration,new,response"
      },
      "source": [
        "*Example output*:\n",
        "```\n",
        "[\n",
        "  {\n",
        "    \"name\": \"projects/116273516712/locations/us-central1/models/IOD3797407498105782272/modelEvaluations/794074077030707821\",\n",
        "    \"annotationSpecId\": \"6622317852164620288\",\n",
        "    \"createTime\": \"2021-03-01T10:51:08.382156Z\",\n",
        "    \"evaluatedExampleCount\": 18,\n",
        "    \"imageObjectDetectionEvaluationMetrics\": {\n",
        "      \"evaluatedBoundingBoxCount\": 96,\n",
        "      \"boundingBoxMetricsEntries\": [\n",
        "        {\n",
        "          \"iouThreshold\": 0.1,\n",
        "          \"meanAveragePrecision\": 0.48460323,\n",
        "          \"confidenceMetricsEntries\": [\n",
        "            {\n",
        "              \"confidenceThreshold\": 3.6381647e-05,\n",
        "              \"recall\": 0.65625,\n",
        "              \"precision\": 0.26359832,\n",
        "              \"f1Score\": 0.3761194\n",
        "            },\n",
        "            {\n",
        "              \"confidenceThreshold\": 0.00059657835,\n",
        "              \"recall\": 0.6458333,\n",
        "              \"precision\": 0.2792793,\n",
        "              \"f1Score\": 0.38993713\n",
        "            },\n",
        "            {\n",
        "              \"confidenceThreshold\": 0.0012138822,\n",
        "              \"recall\": 0.6354167,\n",
        "              \"precision\": 0.2961165,\n",
        "              \"f1Score\": 0.4039735\n",
        "            },\n",
        "            {\n",
        "              \"confidenceThreshold\": 0.003875596,\n",
        "              \"recall\": 0.625,\n",
        "              \"precision\": 0.32967034,\n",
        "              \"f1Score\": 0.4316547\n",
        "            },\n",
        "            {\n",
        "              \"confidenceThreshold\": 0.0065186527,\n",
        "              \"recall\": 0.6145833,\n",
        "              \"precision\": 0.3597561,\n",
        "              \"f1Score\": 0.45384616\n",
        "            },\n",
        "            {\n",
        "              \"confidenceThreshold\": 0.008566886,\n",
        "              \"recall\": 0.6041667,\n",
        "              \"precision\": 0.36708862,\n",
        "              \"f1Score\": 0.45669293\n",
        "            },\n",
        "            \n",
        "            # REMOVED FOR BREVITY\n",
        "            \n",
        "            {\n",
        "              \"confidenceThreshold\": 0.024422897,\n",
        "              \"recall\": 0.1875,\n",
        "              \"precision\": 0.06818182,\n",
        "              \"f1Score\": 0.10000001\n",
        "            },\n",
        "            {\n",
        "              \"confidenceThreshold\": 0.03706667,\n",
        "              \"recall\": 0.125,\n",
        "              \"precision\": 0.06896552,\n",
        "              \"f1Score\": 0.08888888\n",
        "            },\n",
        "            {\n",
        "              \"confidenceThreshold\": 0.17009574,\n",
        "              \"recall\": 0.0625,\n",
        "              \"precision\": 0.16666667,\n",
        "              \"f1Score\": 0.09090909\n",
        "            },\n",
        "            {\n",
        "              \"confidenceThreshold\": 0.9619299,\n",
        "              \"recall\": 0.0625,\n",
        "              \"precision\": 1.0,\n",
        "              \"f1Score\": 0.11764706\n",
        "            }\n",
        "          ]\n",
        "        },\n",
        "        {\n",
        "          \"iouThreshold\": 0.85,\n",
        "          \"confidenceMetricsEntries\": [\n",
        "            {\n",
        "              \"confidenceThreshold\": 4.645326e-05\n",
        "            },\n",
        "            {\n",
        "              \"confidenceThreshold\": 0.9619299\n",
        "            }\n",
        "          ]\n",
        "        }\n",
        "      ],\n",
        "      \"boundingBoxMeanAveragePrecision\": 0.08613319\n",
        "    },\n",
        "    \"displayName\": \"Baked Goods\"\n",
        "  }\n",
        "]\n",
        "```\n"
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "i6T0bzuNJjkY"
      },
      "source": [
        "### [projects.locations.models.modelEvaluations.get](https://cloud.google.com/automl/docs/reference/rest/v1beta1/projects.locations.models.modelEvaluations/get)"
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "aWycptl9yabA"
      },
      "source": [
        "#### Call"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": null,
      "metadata": {
        "id": "dVMiln2uyabA"
      },
      "outputs": [],
      "source": [
        "request = clients[\"automl\"].get_model_evaluation(name=evaluation_slice)"
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "MeB0FekxyabA"
      },
      "source": [
        "#### Response"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": null,
      "metadata": {
        "id": "w3-uF8bOyabB"
      },
      "outputs": [],
      "source": [
        "print(MessageToJson(request.__dict__[\"_pb\"]))"
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "datasets_import:migration,new,response"
      },
      "source": [
        "*Example output*:\n",
        "```\n",
        "{\n",
        "  \"name\": \"projects/116273516712/locations/us-central1/models/IOD3797407498105782272/modelEvaluations/794074077030707821\",\n",
        "  \"annotationSpecId\": \"6622317852164620288\",\n",
        "  \"createTime\": \"2021-03-01T10:51:08.382156Z\",\n",
        "  \"evaluatedExampleCount\": 18,\n",
        "  \"imageObjectDetectionEvaluationMetrics\": {\n",
        "    \"evaluatedBoundingBoxCount\": 96,\n",
        "    \"boundingBoxMetricsEntries\": [\n",
        "      {\n",
        "        \"iouThreshold\": 0.1,\n",
        "        \"meanAveragePrecision\": 0.48460323,\n",
        "        \"confidenceMetricsEntries\": [\n",
        "          {\n",
        "            \"confidenceThreshold\": 3.6381647e-05,\n",
        "            \"recall\": 0.65625,\n",
        "            \"precision\": 0.26359832,\n",
        "            \"f1Score\": 0.3761194\n",
        "          },\n",
        "          {\n",
        "            \"confidenceThreshold\": 0.00059657835,\n",
        "            \"recall\": 0.6458333,\n",
        "            \"precision\": 0.2792793,\n",
        "            \"f1Score\": 0.38993713\n",
        "          },\n",
        "          \n",
        "          # REMOVED FOR BREVITY\n",
        "          \n",
        "          {\n",
        "            \"confidenceThreshold\": 0.9941245,\n",
        "            \"recall\": 0.03125,\n",
        "            \"precision\": 0.6,\n",
        "            \"f1Score\": 0.05940594\n",
        "          },\n",
        "          {\n",
        "            \"confidenceThreshold\": 0.99589527,\n",
        "            \"recall\": 0.020833334,\n",
        "            \"precision\": 0.6666667,\n",
        "            \"f1Score\": 0.040404044\n",
        "          },\n",
        "          {\n",
        "            \"confidenceThreshold\": 0.9964624,\n",
        "            \"recall\": 0.010416667,\n",
        "            \"precision\": 0.5,\n",
        "            \"f1Score\": 0.020408163\n",
        "          },\n",
        "          {\n",
        "            \"confidenceThreshold\": 0.9993537,\n",
        "            \"recall\": 0.010416667,\n",
        "            \"precision\": 1.0,\n",
        "            \"f1Score\": 0.020618558\n",
        "          }\n",
        "        ]\n",
        "      }\n",
        "    ],\n",
        "    \"boundingBoxMeanAveragePrecision\": 0.30185306\n",
        "  },\n",
        "  \"displayName\": \"Tomato\"\n",
        "}\n",
        "```\n"
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "A4zJyXMdyabB"
      },
      "source": [
        "## Make batch predictions"
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "IEFR6ypNyabB"
      },
      "source": [
        "### Make a batch prediction file"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": null,
      "metadata": {
        "id": "1Ji3-owXyabB"
      },
      "outputs": [],
      "source": [
        "import json\n",
        "\n",
        "import tensorflow as tf\n",
        "\n",
        "test_items = ! gsutil cat $IMPORT_FILE | head -n 10\n",
        "\n",
        "gcs_input_uri = \"gs://\" + BUCKET_NAME + \"/test.csv\"\n",
        "with tf.io.gfile.GFile(gcs_input_uri, \"w\") as f:\n",
        "    for item in test_items:\n",
        "        f.write(item.split(\",\")[1] + \"\\n\")\n",
        "\n",
        "! gsutil cat $gcs_input_uri"
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "datasets_import:migration,new,response"
      },
      "source": [
        "*Example output*:\n",
        "```\n",
        "gs://migration-ucaip-trainingaip-20210301091741/openimage/103/279324025_3e74a32a84_o.jpg\n",
        "gs://migration-ucaip-trainingaip-20210301091741/openimage/103/279324025_3e74a32a84_o.jpg\n",
        "gs://migration-ucaip-trainingaip-20210301091741/openimage/1064/3167707458_7b2eebed9e_o.jpg\n",
        "gs://migration-ucaip-trainingaip-20210301091741/openimage/1064/3167707458_7b2eebed9e_o.jpg\n",
        "gs://migration-ucaip-trainingaip-20210301091741/openimage/1064/3167707458_7b2eebed9e_o.jpg\n",
        "gs://migration-ucaip-trainingaip-20210301091741/openimage/1064/3167707458_7b2eebed9e_o.jpg\n",
        "gs://migration-ucaip-trainingaip-20210301091741/openimage/1064/3167707458_7b2eebed9e_o.jpg\n",
        "gs://migration-ucaip-trainingaip-20210301091741/openimage/1064/3167707458_7b2eebed9e_o.jpg\n",
        "gs://migration-ucaip-trainingaip-20210301091741/openimage/1064/3167707458_7b2eebed9e_o.jpg\n",
        "gs://migration-ucaip-trainingaip-20210301091741/openimage/1064/3167707458_7b2eebed9e_o.jpg\n",
        "```\n"
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "text_models_batchpredict:migration,old"
      },
      "source": [
        "### [projects.locations.models.batchPredict](https://cloud.google.com/automl/docs/reference/rest/v1beta1/projects.locations.models/batchPredict)"
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "skd_JJzRyabB"
      },
      "source": [
        "#### Request"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": null,
      "metadata": {
        "id": "2srxmGqkyabC"
      },
      "outputs": [],
      "source": [
        "input_config = {\"gcs_source\": {\"input_uris\": [gcs_input_uri]}}\n",
        "\n",
        "output_config = {\n",
        "    \"gcs_destination\": {\"output_uri_prefix\": \"gs://\" + f\"{BUCKET_NAME}/batch_output/\"}\n",
        "}\n",
        "\n",
        "print(\n",
        "    MessageToJson(\n",
        "        automl.BatchPredictRequest(\n",
        "            name=model_id, input_config=input_config, output_config=output_config\n",
        "        ).__dict__[\"_pb\"]\n",
        "    )\n",
        ")"
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "0bc2ac22cc96"
      },
      "source": [
        "*Example output*:\n",
        "```\n",
        "{\n",
        "  \"name\": \"projects/116273516712/locations/us-central1/models/IOD3797407498105782272\",\n",
        "  \"inputConfig\": {\n",
        "    \"gcsSource\": {\n",
        "      \"inputUris\": [\n",
        "        \"gs://migration-ucaip-trainingaip-20210301091741/test.csv\"\n",
        "      ]\n",
        "    }\n",
        "  },\n",
        "  \"outputConfig\": {\n",
        "    \"gcsDestination\": {\n",
        "      \"outputUriPrefix\": \"gs://migration-ucaip-trainingaip-20210301091741/batch_output/\"\n",
        "    }\n",
        "  }\n",
        "}\n",
        "```\n"
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "46cbhLkryabC"
      },
      "source": [
        "#### Call"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": null,
      "metadata": {
        "id": "2NDzN1n8yabC"
      },
      "outputs": [],
      "source": [
        "request = clients[\"prediction\"].batch_predict(\n",
        "    name=model_id, input_config=input_config, output_config=output_config\n",
        ")"
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "zP-ACCH9yabC"
      },
      "source": [
        "#### Response"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": null,
      "metadata": {
        "id": "Xaf2gIubyabC"
      },
      "outputs": [],
      "source": [
        "result = request.result()\n",
        "\n",
        "print(MessageToJson(result.__dict__[\"_pb\"]))"
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "DYzaoP0CEV7j"
      },
      "source": [
        "*Example output*:\r\n",
        "```\r\n",
        "{}\r\n",
        "```"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": null,
      "metadata": {
        "id": "fnYRCde3xXie"
      },
      "outputs": [],
      "source": [
        "destination_uri = output_config[\"gcs_destination\"][\"output_uri_prefix\"][:-1]\n",
        "\n",
        "! gsutil ls $destination_uri/*\n",
        "! gsutil cat $destination_uri/prediction*/*.jsonl"
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "fe1abc8b829e"
      },
      "source": [
        "*Example output*:\n",
        "```\n",
        "gs://migration-ucaip-trainingaip-20210301091741/batch_output/prediction-salads_20210301091741-2021-03-01T10:52:53.972802Z/image_object_detection_0.jsonl\n",
        "gs://migration-ucaip-trainingaip-20210301091741/batch_output/prediction-salads_20210301091741-2021-03-01T10:52:53.972802Z/image_object_detection_1.jsonl\n",
        "gs://migration-ucaip-trainingaip-20210301091741/batch_output/prediction-salads_20210301091741-2021-03-01T10:52:53.972802Z/image_object_detection_2.jsonl\n",
        "{\"ID\":\"gs://migration-ucaip-trainingaip-20210301091741/openimage/103/279324025_3e74a32a84_o.jpg\",\"annotations\":[{\"annotation_spec_id\":\"3163553338344079360\",\"display_name\":\"Baked Goods\",\"image_object_detection\":{\"bounding_box\":{\"normalized_vertices\":[{\"x\":0.019032001,\"y\":0.047988813},{\"x\":0.5898183,\"y\":0.78811049}],\"vertices\":[]},\"score\":0.96192992}},{\"annotation_spec_id\":\"6622317852164620288\",\"display_name\":\"Tomato\",\"image_object_detection\":{\"bounding_box\":{\"normalized_vertices\":[{\"x\":0.55052197,\"y\":0.58303279},{\"x\":0.63364756,\"y\":0.74831831}],\"vertices\":[]},\"score\":0.870511}},{\"annotation_spec_id\":\"3163553338344079360\",\"display_name\":\"Baked Goods\",\"image_object_detection\":{\"bounding_box\":{\"normalized_vertices\":[{\"x\":0.056096584},{\"x\":0.91519189,\"y\":0.98487538}],\"vertices\":[]},\"score\":0.79013598}},{\"annotation_spec_id\":\"4316474842950926336\",\"display_name\":\"Salad\",\"image_object_detection\":{\"bounding_box\":{\"normalized_vertices\":[{\"x\":0.2624923,\"y\":0.063098952},{\"x\":0.99545622,\"y\":1}],\"vertices\":[]},\"score\":0.60728121}}]}\n",
        "{\"ID\":\"gs://migration-ucaip-trainingaip-20210301091741/openimage/103/279324025_3e74a32a84_o.jpg\",\"annotations\":[{\"annotation_spec_id\":\"3163553338344079360\",\"display_name\":\"Baked Goods\",\"image_object_detection\":{\"bounding_box\":{\"normalized_vertices\":[{\"x\":0.019032001,\"y\":0.047988813},{\"x\":0.5898183,\"y\":0.78811049}],\"vertices\":[]},\"score\":0.96192992}},{\"annotation_spec_id\":\"6622317852164620288\",\"display_name\":\"Tomato\",\"image_object_detection\":{\"bounding_box\":{\"normalized_vertices\":[{\"x\":0.55052197,\"y\":0.58303279},{\"x\":0.63364756,\"y\":0.74831831}],\"vertices\":[]},\"score\":0.870511}},{\"annotation_spec_id\":\"3163553338344079360\",\"display_name\":\"Baked Goods\",\"image_object_detection\":{\"bounding_box\":{\"normalized_vertices\":[{\"x\":0.056096584},{\"x\":0.91519189,\"y\":0.98487538}],\"vertices\":[]},\"score\":0.79013598}},{\"annotation_spec_id\":\"4316474842950926336\",\"display_name\":\"Salad\",\"image_object_detection\":{\"bounding_box\":{\"normalized_vertices\":[{\"x\":0.2624923,\"y\":0.063098952},{\"x\":0.99545622,\"y\":1}],\"vertices\":[]},\"score\":0.60728121}}]}\n",
        "{\"ID\":\"gs://migration-ucaip-trainingaip-20210301091741/openimage/1064/3167707458_7b2eebed9e_o.jpg\",\"annotations\":[{\"annotation_spec_id\":\"2010631833737232384\",\"display_name\":\"Cheese\",\"image_object_detection\":{\"bounding_box\":{\"normalized_vertices\":[{\"x\":0.5891307,\"y\":0.055182356},{\"x\":0.88701528,\"y\":0.2786459}],\"vertices\":[]},\"score\":0.99448556}},{\"annotation_spec_id\":\"4316474842950926336\",\"display_name\":\"Salad\",\"image_object_detection\":{\"bounding_box\":{\"normalized_vertices\":[{},{\"x\":0.99119592,\"y\":1}],\"vertices\":[]},\"score\":0.78258878}},{\"annotation_spec_id\":\"2010631833737232384\",\"display_name\":\"Cheese\",\"image_object_detection\":{\"bounding_box\":{\"normalized_vertices\":[{\"x\":0.09908694,\"y\":0.038005471},{\"x\":0.53745395,\"y\":0.41128135}],\"vertices\":[]},\"score\":0.61209571}},{\"annotation_spec_id\":\"6622317852164620288\",\"display_name\":\"Tomato\",\"image_object_detection\":{\"bounding_box\":{\"normalized_vertices\":[{\"x\":0.56387162,\"y\":0.40369061},{\"x\":0.99384451,\"y\":0.9047623299999999}],\"vertices\":[]},\"score\":0.57341981}},{\"annotation_spec_id\":\"2010631833737232384\",\"display_name\":\"Cheese\",\"image_object_detection\":{\"bounding_box\":{\"normalized_vertices\":[{\"x\":0.58524036,\"y\":0.41812626},{\"x\":0.99431562,\"y\":0.8581754}],\"vertices\":[]},\"score\":0.50971383}}]}\n",
        "{\"ID\":\"gs://migration-ucaip-trainingaip-20210301091741/openimage/1064/3167707458_7b2eebed9e_o.jpg\",\"annotations\":[{\"annotation_spec_id\":\"2010631833737232384\",\"display_name\":\"Cheese\",\"image_object_detection\":{\"bounding_box\":{\"normalized_vertices\":[{\"x\":0.5891307,\"y\":0.055182356},{\"x\":0.88701528,\"y\":0.2786459}],\"vertices\":[]},\"score\":0.99448556}},{\"annotation_spec_id\":\"4316474842950926336\",\"display_name\":\"Salad\",\"image_object_detection\":{\"bounding_box\":{\"normalized_vertices\":[{},{\"x\":0.99119592,\"y\":1}],\"vertices\":[]},\"score\":0.78258878}},{\"annotation_spec_id\":\"2010631833737232384\",\"display_name\":\"Cheese\",\"image_object_detection\":{\"bounding_box\":{\"normalized_vertices\":[{\"x\":0.09908694,\"y\":0.038005471},{\"x\":0.53745395,\"y\":0.41128135}],\"vertices\":[]},\"score\":0.61209571}},{\"annotation_spec_id\":\"6622317852164620288\",\"display_name\":\"Tomato\",\"image_object_detection\":{\"bounding_box\":{\"normalized_vertices\":[{\"x\":0.56387162,\"y\":0.40369061},{\"x\":0.99384451,\"y\":0.9047623299999999}],\"vertices\":[]},\"score\":0.57341981}},{\"annotation_spec_id\":\"2010631833737232384\",\"display_name\":\"Cheese\",\"image_object_detection\":{\"bounding_box\":{\"normalized_vertices\":[{\"x\":0.58524036,\"y\":0.41812626},{\"x\":0.99431562,\"y\":0.8581754}],\"vertices\":[]},\"score\":0.50971383}}]}\n",
        "{\"ID\":\"gs://migration-ucaip-trainingaip-20210301091741/openimage/1064/3167707458_7b2eebed9e_o.jpg\",\"annotations\":[{\"annotation_spec_id\":\"2010631833737232384\",\"display_name\":\"Cheese\",\"image_object_detection\":{\"bounding_box\":{\"normalized_vertices\":[{\"x\":0.5891307,\"y\":0.055182356},{\"x\":0.88701528,\"y\":0.2786459}],\"vertices\":[]},\"score\":0.99448556}},{\"annotation_spec_id\":\"4316474842950926336\",\"display_name\":\"Salad\",\"image_object_detection\":{\"bounding_box\":{\"normalized_vertices\":[{},{\"x\":0.99119592,\"y\":1}],\"vertices\":[]},\"score\":0.78258878}},{\"annotation_spec_id\":\"2010631833737232384\",\"display_name\":\"Cheese\",\"image_object_detection\":{\"bounding_box\":{\"normalized_vertices\":[{\"x\":0.09908694,\"y\":0.038005471},{\"x\":0.53745395,\"y\":0.41128135}],\"vertices\":[]},\"score\":0.61209571}},{\"annotation_spec_id\":\"6622317852164620288\",\"display_name\":\"Tomato\",\"image_object_detection\":{\"bounding_box\":{\"normalized_vertices\":[{\"x\":0.56387162,\"y\":0.40369061},{\"x\":0.99384451,\"y\":0.9047623299999999}],\"vertices\":[]},\"score\":0.57341981}},{\"annotation_spec_id\":\"2010631833737232384\",\"display_name\":\"Cheese\",\"image_object_detection\":{\"bounding_box\":{\"normalized_vertices\":[{\"x\":0.58524036,\"y\":0.41812626},{\"x\":0.99431562,\"y\":0.8581754}],\"vertices\":[]},\"score\":0.50971383}}]}\n",
        "{\"ID\":\"gs://migration-ucaip-trainingaip-20210301091741/openimage/1064/3167707458_7b2eebed9e_o.jpg\",\"annotations\":[{\"annotation_spec_id\":\"2010631833737232384\",\"display_name\":\"Cheese\",\"image_object_detection\":{\"bounding_box\":{\"normalized_vertices\":[{\"x\":0.5891307,\"y\":0.055182356},{\"x\":0.88701528,\"y\":0.2786459}],\"vertices\":[]},\"score\":0.99448556}},{\"annotation_spec_id\":\"4316474842950926336\",\"display_name\":\"Salad\",\"image_object_detection\":{\"bounding_box\":{\"normalized_vertices\":[{},{\"x\":0.99119592,\"y\":1}],\"vertices\":[]},\"score\":0.78258878}},{\"annotation_spec_id\":\"2010631833737232384\",\"display_name\":\"Cheese\",\"image_object_detection\":{\"bounding_box\":{\"normalized_vertices\":[{\"x\":0.09908694,\"y\":0.038005471},{\"x\":0.53745395,\"y\":0.41128135}],\"vertices\":[]},\"score\":0.61209571}},{\"annotation_spec_id\":\"6622317852164620288\",\"display_name\":\"Tomato\",\"image_object_detection\":{\"bounding_box\":{\"normalized_vertices\":[{\"x\":0.56387162,\"y\":0.40369061},{\"x\":0.99384451,\"y\":0.9047623299999999}],\"vertices\":[]},\"score\":0.57341981}},{\"annotation_spec_id\":\"2010631833737232384\",\"display_name\":\"Cheese\",\"image_object_detection\":{\"bounding_box\":{\"normalized_vertices\":[{\"x\":0.58524036,\"y\":0.41812626},{\"x\":0.99431562,\"y\":0.8581754}],\"vertices\":[]},\"score\":0.50971383}}]}\n",
        "{\"ID\":\"gs://migration-ucaip-trainingaip-20210301091741/openimage/1064/3167707458_7b2eebed9e_o.jpg\",\"annotations\":[{\"annotation_spec_id\":\"2010631833737232384\",\"display_name\":\"Cheese\",\"image_object_detection\":{\"bounding_box\":{\"normalized_vertices\":[{\"x\":0.5891307,\"y\":0.055182356},{\"x\":0.88701528,\"y\":0.2786459}],\"vertices\":[]},\"score\":0.99448556}},{\"annotation_spec_id\":\"4316474842950926336\",\"display_name\":\"Salad\",\"image_object_detection\":{\"bounding_box\":{\"normalized_vertices\":[{},{\"x\":0.99119592,\"y\":1}],\"vertices\":[]},\"score\":0.78258878}},{\"annotation_spec_id\":\"2010631833737232384\",\"display_name\":\"Cheese\",\"image_object_detection\":{\"bounding_box\":{\"normalized_vertices\":[{\"x\":0.09908694,\"y\":0.038005471},{\"x\":0.53745395,\"y\":0.41128135}],\"vertices\":[]},\"score\":0.61209571}},{\"annotation_spec_id\":\"6622317852164620288\",\"display_name\":\"Tomato\",\"image_object_detection\":{\"bounding_box\":{\"normalized_vertices\":[{\"x\":0.56387162,\"y\":0.40369061},{\"x\":0.99384451,\"y\":0.9047623299999999}],\"vertices\":[]},\"score\":0.57341981}},{\"annotation_spec_id\":\"2010631833737232384\",\"display_name\":\"Cheese\",\"image_object_detection\":{\"bounding_box\":{\"normalized_vertices\":[{\"x\":0.58524036,\"y\":0.41812626},{\"x\":0.99431562,\"y\":0.8581754}],\"vertices\":[]},\"score\":0.50971383}}]}\n",
        "{\"ID\":\"gs://migration-ucaip-trainingaip-20210301091741/openimage/1064/3167707458_7b2eebed9e_o.jpg\",\"annotations\":[{\"annotation_spec_id\":\"2010631833737232384\",\"display_name\":\"Cheese\",\"image_object_detection\":{\"bounding_box\":{\"normalized_vertices\":[{\"x\":0.5891307,\"y\":0.055182356},{\"x\":0.88701528,\"y\":0.2786459}],\"vertices\":[]},\"score\":0.99448556}},{\"annotation_spec_id\":\"4316474842950926336\",\"display_name\":\"Salad\",\"image_object_detection\":{\"bounding_box\":{\"normalized_vertices\":[{},{\"x\":0.99119592,\"y\":1}],\"vertices\":[]},\"score\":0.78258878}},{\"annotation_spec_id\":\"2010631833737232384\",\"display_name\":\"Cheese\",\"image_object_detection\":{\"bounding_box\":{\"normalized_vertices\":[{\"x\":0.09908694,\"y\":0.038005471},{\"x\":0.53745395,\"y\":0.41128135}],\"vertices\":[]},\"score\":0.61209571}},{\"annotation_spec_id\":\"6622317852164620288\",\"display_name\":\"Tomato\",\"image_object_detection\":{\"bounding_box\":{\"normalized_vertices\":[{\"x\":0.56387162,\"y\":0.40369061},{\"x\":0.99384451,\"y\":0.9047623299999999}],\"vertices\":[]},\"score\":0.57341981}},{\"annotation_spec_id\":\"2010631833737232384\",\"display_name\":\"Cheese\",\"image_object_detection\":{\"bounding_box\":{\"normalized_vertices\":[{\"x\":0.58524036,\"y\":0.41812626},{\"x\":0.99431562,\"y\":0.8581754}],\"vertices\":[]},\"score\":0.50971383}}]}\n",
        "{\"ID\":\"gs://migration-ucaip-trainingaip-20210301091741/openimage/1064/3167707458_7b2eebed9e_o.jpg\",\"annotations\":[{\"annotation_spec_id\":\"2010631833737232384\",\"display_name\":\"Cheese\",\"image_object_detection\":{\"bounding_box\":{\"normalized_vertices\":[{\"x\":0.5891307,\"y\":0.055182356},{\"x\":0.88701528,\"y\":0.2786459}],\"vertices\":[]},\"score\":0.99448556}},{\"annotation_spec_id\":\"4316474842950926336\",\"display_name\":\"Salad\",\"image_object_detection\":{\"bounding_box\":{\"normalized_vertices\":[{},{\"x\":0.99119592,\"y\":1}],\"vertices\":[]},\"score\":0.78258878}},{\"annotation_spec_id\":\"2010631833737232384\",\"display_name\":\"Cheese\",\"image_object_detection\":{\"bounding_box\":{\"normalized_vertices\":[{\"x\":0.09908694,\"y\":0.038005471},{\"x\":0.53745395,\"y\":0.41128135}],\"vertices\":[]},\"score\":0.61209571}},{\"annotation_spec_id\":\"6622317852164620288\",\"display_name\":\"Tomato\",\"image_object_detection\":{\"bounding_box\":{\"normalized_vertices\":[{\"x\":0.56387162,\"y\":0.40369061},{\"x\":0.99384451,\"y\":0.9047623299999999}],\"vertices\":[]},\"score\":0.57341981}},{\"annotation_spec_id\":\"2010631833737232384\",\"display_name\":\"Cheese\",\"image_object_detection\":{\"bounding_box\":{\"normalized_vertices\":[{\"x\":0.58524036,\"y\":0.41812626},{\"x\":0.99431562,\"y\":0.8581754}],\"vertices\":[]},\"score\":0.50971383}}]}\n",
        "{\"ID\":\"gs://migration-ucaip-trainingaip-20210301091741/openimage/1064/3167707458_7b2eebed9e_o.jpg\",\"annotations\":[{\"annotation_spec_id\":\"2010631833737232384\",\"display_name\":\"Cheese\",\"image_object_detection\":{\"bounding_box\":{\"normalized_vertices\":[{\"x\":0.5891307,\"y\":0.055182356},{\"x\":0.88701528,\"y\":0.2786459}],\"vertices\":[]},\"score\":0.99448556}},{\"annotation_spec_id\":\"4316474842950926336\",\"display_name\":\"Salad\",\"image_object_detection\":{\"bounding_box\":{\"normalized_vertices\":[{},{\"x\":0.99119592,\"y\":1}],\"vertices\":[]},\"score\":0.78258878}},{\"annotation_spec_id\":\"2010631833737232384\",\"display_name\":\"Cheese\",\"image_object_detection\":{\"bounding_box\":{\"normalized_vertices\":[{\"x\":0.09908694,\"y\":0.038005471},{\"x\":0.53745395,\"y\":0.41128135}],\"vertices\":[]},\"score\":0.61209571}},{\"annotation_spec_id\":\"6622317852164620288\",\"display_name\":\"Tomato\",\"image_object_detection\":{\"bounding_box\":{\"normalized_vertices\":[{\"x\":0.56387162,\"y\":0.40369061},{\"x\":0.99384451,\"y\":0.9047623299999999}],\"vertices\":[]},\"score\":0.57341981}},{\"annotation_spec_id\":\"2010631833737232384\",\"display_name\":\"Cheese\",\"image_object_detection\":{\"bounding_box\":{\"normalized_vertices\":[{\"x\":0.58524036,\"y\":0.41812626},{\"x\":0.99431562,\"y\":0.8581754}],\"vertices\":[]},\"score\":0.50971383}}]}\n",
        "```\n"
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "DG45Ug0jyabD"
      },
      "source": [
        "## Make online predictions"
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "v3Hc1PEyyabD"
      },
      "source": [
        "### Prepare file for online prediction"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": null,
      "metadata": {
        "id": "FGkjkIRsyabD"
      },
      "outputs": [],
      "source": [
        "import tensorflow as tf\n",
        "\n",
        "test_item = ! gsutil cat $IMPORT_FILE | head -n 1\n",
        "test_file = test_item[0].split(\",\")[1]\n",
        "\n",
        "with tf.io.gfile.GFile(test_file, \"rb\") as f:\n",
        "    content = f.read()"
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "text_models_deploy:migration,old"
      },
      "source": [
        "### [projects.locations.models.deploy](https://cloud.google.com/automl/docs/reference/rest/v1beta1/projects.locations.models/deploy)"
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "Rlct02LHyabE"
      },
      "source": [
        "#### Call"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": null,
      "metadata": {
        "id": "0b4367e8c21e"
      },
      "outputs": [],
      "source": [
        "request = clients[\"automl\"].deploy_model(name=model_id)"
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "5z_mpZ82yabE"
      },
      "source": [
        "#### Response"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": null,
      "metadata": {
        "id": "IJVSEo-nyabE"
      },
      "outputs": [],
      "source": [
        "result = request.result()\n",
        "\n",
        "print(MessageToJson(result))"
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "DYzaoP0CEV7j"
      },
      "source": [
        "*Example output*:\r\n",
        "```\r\n",
        "{}\r\n",
        "```"
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "text_models_predict:migration,old"
      },
      "source": [
        "### [projects.locations.models.predict](https://cloud.google.com/automl/docs/reference/rest/v1beta1/projects.locations.models/predict)"
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "Rzs-u8IRyabF"
      },
      "source": [
        "#### Request"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": null,
      "metadata": {
        "id": "uLUIi93fyabF"
      },
      "outputs": [],
      "source": [
        "image = automl.Image(image_bytes=content)\n",
        "payload = automl.ExamplePayload(image=image)\n",
        "params = {\"score_threshold\": \"0.8\"}\n",
        "\n",
        "prediction_request = automl.PredictRequest(\n",
        "    name=model_id, payload=payload, params=params\n",
        ")\n",
        "\n",
        "print(MessageToJson(prediction_request.__dict__[\"_pb\"]))"
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "3409334bbfc7"
      },
      "source": [
        "*Example output*:\n",
        "```\n",
        "{\n",
        "  \"name\": \"projects/116273516712/locations/us-central1/models/IOD3797407498105782272\",\n",
        "  \"payload\": {\n",
        "    \"image\": {\n",
        "      \"imageBytes\": 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\"\n",
        "    }\n",
        "  },\n",
        "  \"params\": {\n",
        "    \"score_threshold\": \"0.8\"\n",
        "  }\n",
        "}\n",
        "```\n"
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "r5pn1woLyabF"
      },
      "source": [
        "#### Call"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": null,
      "metadata": {
        "id": "ROWzLAszyabF"
      },
      "outputs": [],
      "source": [
        "request = clients[\"prediction\"].predict(request=prediction_request)"
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "K91imH7ByabF"
      },
      "source": [
        "#### Response"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": null,
      "metadata": {
        "id": "TPJAlYlKyabG"
      },
      "outputs": [],
      "source": [
        "print(MessageToJson(request.__dict__[\"_pb\"]))"
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "aeeb6b7e4232"
      },
      "source": [
        "*Example output*:\n",
        "```\n",
        "{\n",
        "  \"payload\": [\n",
        "    {\n",
        "      \"annotationSpecId\": \"3163553338344079360\",\n",
        "      \"imageObjectDetection\": {\n",
        "        \"boundingBox\": {\n",
        "          \"normalizedVertices\": [\n",
        "            {\n",
        "              \"x\": 0.019032001,\n",
        "              \"y\": 0.047988813\n",
        "            },\n",
        "            {\n",
        "              \"x\": 0.5898183,\n",
        "              \"y\": 0.7881106\n",
        "            }\n",
        "          ]\n",
        "        },\n",
        "        \"score\": 0.9619299\n",
        "      },\n",
        "      \"displayName\": \"Baked Goods\"\n",
        "    },\n",
        "    {\n",
        "      \"annotationSpecId\": \"6622317852164620288\",\n",
        "      \"imageObjectDetection\": {\n",
        "        \"boundingBox\": {\n",
        "          \"normalizedVertices\": [\n",
        "            {\n",
        "              \"x\": 0.55052197,\n",
        "              \"y\": 0.5830328\n",
        "            },\n",
        "            {\n",
        "              \"x\": 0.63364756,\n",
        "              \"y\": 0.7483183\n",
        "            }\n",
        "          ]\n",
        "        },\n",
        "        \"score\": 0.8705111\n",
        "      },\n",
        "      \"displayName\": \"Tomato\"\n",
        "    }\n",
        "  ]\n",
        "}\n",
        "```\n"
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "j14fFDBnxXii"
      },
      "source": [
        "### [projects.locations.models.undeploy](https://cloud.google.com/automl/docs/reference/rest/v1/projects.locations.models/undeploy)"
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "wrhN_FT4xXii"
      },
      "source": [
        "#### Request"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": null,
      "metadata": {
        "id": "kR-o0CO7xXii"
      },
      "outputs": [],
      "source": [
        "request = clients[\"automl\"].undeploy_model(name=model_id)"
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "JF1qgjOfxXij"
      },
      "source": [
        "#### Call"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": null,
      "metadata": {
        "id": "-VbCkwYyxXij"
      },
      "outputs": [],
      "source": [
        "result = request.result()"
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "SpuhCYjSxXij"
      },
      "source": [
        "#### Response\n"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": null,
      "metadata": {
        "id": "ot9hRqTVxXij"
      },
      "outputs": [],
      "source": [
        "print(MessageToJson(result))"
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "DYzaoP0CEV7j"
      },
      "source": [
        "*Example output*:\r\n",
        "```\r\n",
        "{}\r\n",
        "```"
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "bQ-VVaSxJjkd"
      },
      "source": [
        "# Cleaning up\r\n",
        "\r\n",
        "To clean up all GCP resources used in this project, you can [delete the GCP\r\n",
        "project](https://cloud.google.com/resource-manager/docs/creating-managing-projects#shutting_down_projects) you used for the tutorial.\r\n",
        "\r\n",
        "Otherwise, you can delete the individual resources you created in this tutorial."
      ]
    },
    {
      "cell_type": "code",
      "execution_count": null,
      "metadata": {
        "id": "zFHJL5aOyabG"
      },
      "outputs": [],
      "source": [
        "delete_dataset = True\n",
        "delete_model = True\n",
        "delete_bucket = True\n",
        "\n",
        "# Delete the dataset using the AutoML fully qualified identifier for the dataset\n",
        "try:\n",
        "    if delete_dataset:\n",
        "        clients[\"automl\"].delete_dataset(name=dataset_id)\n",
        "except Exception as e:\n",
        "    print(e)\n",
        "\n",
        "# Delete the model using the AutoML fully qualified identifier for the model\n",
        "try:\n",
        "    if delete_model:\n",
        "        clients[\"automl\"].delete_model(name=model_id)\n",
        "except Exception as e:\n",
        "    print(e)\n",
        "\n",
        "if delete_bucket and \"BUCKET_NAME\" in globals():\n",
        "    ! gsutil rm -r gs://$BUCKET_NAME"
      ]
    }
  ],
  "metadata": {
    "colab": {
      "name": "UJ5 legacy AutoML Vision Images Object Detection.ipynb",
      "toc_visible": true
    },
    "kernelspec": {
      "display_name": "Python 3",
      "name": "python3"
    }
  },
  "nbformat": 4,
  "nbformat_minor": 0
}
